EMIL ALEX 2018

Self-driving cars and traditional cars and increasingly sharing roads today. In such a hybrid world, we have to envision new modes of human-machine communication that can connect people and automobiles in a universal manner.

intentional gestures made by drivers as well as subconscious inferences made by pedestrians and observers constitute an unspoken yet critical component of interactions at urban intersections.

Enabling vehicles to communicate directly with other drivers and pedestrians outside  through gestures allows to establish new feedback loops which can help maintain sustained awareness of how driverless vehicles navigate human environments. 

The proposed concept allowed pedestrians to predict with certainty, the the actions self-driving vehicles were about to make and thereby relieve passengers of communication tasks which they would otherwise have no control of. 

TEAM

Emil Alex

ADVISORS

Sara Dean 

Scott Minneman

Maria Mortati

TOOLS AND METHODOLOGIES

User Surveys / Field Research / Contextual Inquiry  Journey Mapping / Rapid Prototyping / CAD Modeling / User Testing / 

THE CHALLENGE

As driverless vehicles are becoming a reality we are in a phase where they will share the roads with cars that have human beings at the wheel. This phase introduces a new set of challenges in terms of signaling and communication.focussed on the communication channels involving the direct interaction and indirect inferences that drivers and pedestrians make while navigating urban intersections.

THE CONTEXT

SCOPING THE AREAS OF WORK
KEY QUESTIONS

PLATFORM

HEADLIGHTS

TURN

SIGNALS

BRAKE

LIGHTS

REVERSE

LIGHTS

HORN

GESTURES

INCHING AHEAD AT INTERSECTIONS

GIVING

PERMISSION

SLOWING DOWN TO ALLOW LANE CHANGES

REQUESTING

PERMISSION

INFERENCES

BEING AWARE OF WHERE OTHER DRIVERS ARE LOOKING

SENSING THE PRESENCE OF ANOTHER CAR BASED ON SOUND

DETECTING THE REACTION TO THE HONKING OF A HORN

KEY ASPECTS
DIRECT
GESTURES

INSIGHTS

SYNTHESISING THE RESEARCH DATA
 

Taking all these factors into account, physical forms were envisioned that helped communicate signals with clarity and ease.

The final version of the model is presently being developed in a Virtual Reality environment using Autodesk VRED in order to facilitate further user testing